Full Stack Software Engineer, Citylitics

• 3–5 years building and maintaining production web applications, with genuine depth in one of the following and working competence in the other:
• Backend: Django / Django REST Framework, Python
• Frontend: React (incl. React Query), TypeScript
• Fluent with AI-assisted development workflows (AI coding agents) as a core part of how you ship
• Speaks the language of data — reaches for queries, metrics, and models to frame problems and validate results
• Communicates thinking and direction through technical writing and design — design docs, diagrams, and clear reasoning that bring stakeholders of different technical background along
• Experience building and deploying on a cloud stack (GCP preferred) — e.g. serverless services (Cloud Run/Functions), service-to-service auth, and cloud deploy pipelines
• Working understanding of access management — RBAC, SSO, MFA/2FA, IAM, and tier-based gating
• Comfortable modernizing a live codebase within an existing code-review and agile process
• Organized and process-oriented, with a strong grasp of the SDLC
• CI/CD, API telemetry/monitoring, and database design/denormalization
• Leads by example:

Desirable

• A full stack developer to modernize an established Django + React web application paying down tech debt on a live, actively-shipping codebase
• Alongside that, you'll ship smaller, self-contained custom solutions directly to customers, owning delivery end-to-end
• You'll co-define the target patterns with our team, and we expect genuine depth in one of backend (Django/DRF) or frontend (React/TypeScript) with solid working competence in the other
• Design:
• Write design documents and run technical demos to align stakeholders before building
• Sequence product behaviors into backend/frontend implementation with accurate complexity estimates
• Design and ship self-contained custom solutions to customers
• Data Native:
• Investigate and validate datasets with SQL and metrics to ground design decisions
• Modernization:
• Own modernization efforts — migrate legacy code into modern patterns
• Upgrade core frameworks, retire end-of-life dependencies, and decompose oversized modules
• Reduce tech debt incrementally alongside ongoing product work — safe, incremental refactors over big-bang rewrites
• This is a rare opportunity to influence positive change within one of the biggest societal challenges of our generation: sustainable public infrastructure
• You get to support a disruptive solution with a compelling value proposition into an industry that is eager to hear from you and in a market with no direct competition
• We live at the cross section of infrastructure, scaleup and data science/AI. There is no other team like us in Toronto
• There is no corporate bureaucracy here. You will accomplish more here in a few months than what you would in a few years at a large, entrenched technology company
• We believe that Data and AI will play an outsized role in our future, so we equip every team member with access to Generative AI tools and our full Data Universe to enhance their productivity and encourage innovation through experimentation
• We work hard, we play together, we win as a team! We are on a mission to solve infrastructure while savoring the moment and celebrating the little details along the way